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<records>

  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biosciences Biotechnology Research Asia</journalTitle>
          <issn>0973-1245</issn>
            <publicationDate>2015-04-28</publicationDate>
    
        <volume>12</volume>
        <issue>1</issue>

 
    <startPage>209</startPage>
    <endPage>212</endPage>

	    <publisherRecordId>5288</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Motion Analysis of Elderly People Based on Fall Detection Algorithm</title>

    <authors>
	 


      <author>
       <name>S. Vinuraj Kumar</name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>K. Manikandan</name>


		
	<affiliationId>1</affiliationId>

      </author>
    

	 


      <author>
       <name>N. Kumar</name>

		
	<affiliationId>2</affiliationId>
      </author>
    

	


	


	
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">Department of Biomedical Engineering, Vel Tech Multitech, Chennai-600 062, India. </affiliationName>
    

		
		<affiliationName affiliationId="2">Department of Computer Science and Engineering, Vel Tech Multitech, Chennai-600 062. Tamilnadu. India</affiliationName>
    
		
		
		
		
	  </affiliationsList>






    <abstract language="eng">A fall is mainly due to faint (or) syncope so on performing the faint detection we
can decrease the rate of bone being fractured in elders. Also falls are a major public health
problem among older people; the number of systems aimed at detecting them has increased
dramatically over recent years. This work can be done by means of invasive as well as
non-invasive technique. Invasive technique includes the measurement of blood glucose.
Hence the novelty lies as non-invasive technique which presents the usage of accelerometers
for fall detection along with pressure sensors and heart rate monitor to determine the
reason for the fall. There are two modules one is measuring unit and another is the
detecting unit. The measuring unit measures the continuous heart rate and blood pressure
thereby to determine the fall and to give a self-alarm. Accelerometer sensor has been used
to record and analyze difference between fall and normal motion. It aims to be a supportive
device for the elderly people. We have also identified challenges regarding performance
under real-life conditions, usability and user acceptance as well as issues related to
power consumption, real-time operations, sensing limitations, privacy.</abstract>

    <fullTextUrl format="html">https://www.biotech-asia.org/vol12no1/motion-analysis-of-elderly-people-based-on-fall-detection-algorithm/</fullTextUrl>



      <keywords language="eng">
        <keyword>Accelerometer; sensing; detection; syncope</keyword>
      </keywords>

  </record>
</records>